DEV Community

Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
How a Voice AI call works: from dial to response

How a Voice AI call works: from dial to response

Comments
21 min read
Fine-Tuning Gemma 4 on Day Zero: 3 Bugs We Solved in 30 Minutes

Fine-Tuning Gemma 4 on Day Zero: 3 Bugs We Solved in 30 Minutes

Comments
4 min read
Building a Document Classification and Extraction Pipeline with Gemini Vision API

Building a Document Classification and Extraction Pipeline with Gemini Vision API

Comments
6 min read
Benchmark Scores Are the New SOC2

Benchmark Scores Are the New SOC2

1
Comments
6 min read
Creating AI Chatbots Using AWS Generative AI Services

Creating AI Chatbots Using AWS Generative AI Services

Comments
5 min read
Understanding Decoder-Only Transformers Part 2: Decoder-Only vs Regular Transformers

Understanding Decoder-Only Transformers Part 2: Decoder-Only vs Regular Transformers

21
Comments
2 min read
Introduction to RAG for LLMs: Sparse (Lexical) RAG and Dense RAG (Semantic Vector Search)

Introduction to RAG for LLMs: Sparse (Lexical) RAG and Dense RAG (Semantic Vector Search)

2
Comments
25 min read
The 10 free books I recommend to every engineer learning ML math (and why order matters)

The 10 free books I recommend to every engineer learning ML math (and why order matters)

1
Comments
3 min read
Face Tracking for Vertical Video: Why It's Harder Than It Looks (And How It Works)

Face Tracking for Vertical Video: Why It's Harder Than It Looks (And How It Works)

Comments
4 min read
Cache-Augmented Generation (CAG): A RAG-less Approach to Document QA

Cache-Augmented Generation (CAG): A RAG-less Approach to Document QA

4
Comments
4 min read
How to Migrate Your LLM Pipeline to Gemma 4 Without Breaking Everything

How to Migrate Your LLM Pipeline to Gemma 4 Without Breaking Everything

1
Comments
5 min read
Face Tracking for Vertical Video: Why It's Harder Than It Looks (And How It Works)

Face Tracking for Vertical Video: Why It's Harder Than It Looks (And How It Works)

Comments
4 min read
Full-Stack On-Device GUI Agent — Mano-P Model + Cider + AFK, All Open Source

Full-Stack On-Device GUI Agent — Mano-P Model + Cider + AFK, All Open Source

1
Comments
4 min read
770 Experiments to Squeeze 30 tok/s Out of a 35B MoE Model on a $500 GPU

770 Experiments to Squeeze 30 tok/s Out of a 35B MoE Model on a $500 GPU

Comments
8 min read
3 Classifiers, 3 Answers: Why CoT Faithfulness Scores Are Meaningless

3 Classifiers, 3 Answers: Why CoT Faithfulness Scores Are Meaningless

Comments
6 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.